Cognitive performance and structural brain correlates in long-term anabolic-androgenic steroid exposed and nonexposed weightlifters.
Bibliographic record
Abstract
OBJECTIVE: To test for associations between long-term anabolic-androgenic steroid (AAS) use and cognitive functioning, and establish a candidate neuronal basis by assessing the associations between cognitive performance and brain morphology both in users and nonusers. METHOD: Eighty four previous or current AAS-users and 69 non-AAS-using male weightlifters aged 19-75 years (mean 32.6, SD 8.8) underwent MRI of the brain and a comprehensive neuropsychological test battery. Performance on fine motor speed, speed of processing, learning and memory, working memory, executive functioning, and problem solving was compared between the groups, and between AAS users with short versus long AAS exposure. Associations between cognitive scores and regional cortical thickness and arealization defined using FreeSurfer were tested using linear models. RESULTS: Relative to nonexposed, AAS-exposed weightlifters performed significantly worse on several cognitive domains, independent of age, education, verbal IQ, and exposure to classical drugs of abuse. Strongest effects were observed for speed of processing (ηp2 = .07), working memory (ηp2 = .08) and problem solving (ηp2 = .09). Longer duration of AAS-use was associated with poorer memory function (ηp2 = .11). Within AAS users, individuals with better memory and working memory performance had with thicker frontoparietal cortex and larger medial frontal surface area, respectively. CONCLUSIONS: Prolonged high-dose AAS use is associated with poorer cognitive function across multiple domains, and the observed regional associations between cortical brain morphometry and memory and working memory performance may suggest differential brain-based mechanisms. The public, health care professionals, and policymakers should be aware that use of AAS in large doses potentially could lead to poorer brain health and cognition. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".